{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/xpmiki/Dropbox/esaiasson/replicationData/e18.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 9 Sep 2016, 11:38:59
{txt}
{com}. clear 
{txt}
{com}. set more off
{txt}
{com}. use "charity field1.dta"
{txt}
{com}. 
. gen t = .
{txt}(614 missing values generated)

{com}. replace t = 1 if beslutsform == 1
{txt}(67 real changes made)

{com}. replace t = 1 if beslutsform == 2
{txt}(61 real changes made)

{com}. replace t = 5 if beslutsform == 3
{txt}(54 real changes made)

{com}. replace t = 5 if beslutsform == 4
{txt}(59 real changes made)

{com}. replace t = 5 if beslutsform == 5
{txt}(71 real changes made)

{com}. replace t = 5 if beslutsform == 6
{txt}(75 real changes made)

{com}. replace t = 5 if beslutsform == 7
{txt}(68 real changes made)

{com}. replace t = 5 if beslutsform == 8
{txt}(68 real changes made)

{com}. replace t = 0 if beslutsform == 9
{txt}(82 real changes made)

{com}. 
. drop if t == 5
{txt}(395 observations deleted)

{com}. 
. set seed  358395
{txt}
{com}. sem (d <-  t  wl p)(p <-  t  wl)   , vce(cluster klassnummer)
{res}{txt}
Endogenous variables

{p 0 11 2}Observed:{space 2}{res}d p{p_end}
{txt}
Exogenous variables

{p 0 11 2}Observed:{space 2}{res}t wl{p_end}
{txt}
Fitting target model:

Iteration 0:{space 3}log pseudolikelihood = {res:-182.75255}  
Iteration 1:{space 3}log pseudolikelihood = {res:-182.75255}  

Structural equation model{col 49}Number of obs{col 67}= {res}       210
{col 1}{txt}Estimation method{col 20}= {res}ml
{col 1}{txt}Log pseudolikelihood{col 20}= {res}-182.75255

{txt}{ralign 78:(Std. Err. adjusted for {res:9} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d <-      {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2}  .495549{col 26}{space 2} .1002046{col 37}{space 1}    4.95{col 46}{space 3}0.000{col 54}{space 4} .2991515{col 67}{space 3} .6919464
{txt}{space 11}t {c |}{col 14}{res}{space 2} .0848113{col 26}{space 2}  .037268{col 37}{space 1}    2.28{col 46}{space 3}0.023{col 54}{space 4} .0117674{col 67}{space 3} .1578552
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1668245{col 26}{space 2} .0824815{col 37}{space 1}    2.02{col 46}{space 3}0.043{col 54}{space 4} .0051638{col 67}{space 3} .3284853
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .294087{col 26}{space 2} .1133137{col 37}{space 1}    2.60{col 46}{space 3}0.009{col 54}{space 4} .0719963{col 67}{space 3} .5161777
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2} .1016662{col 26}{space 2} .0465326{col 37}{space 1}    2.18{col 46}{space 3}0.029{col 54}{space 4} .0104639{col 67}{space 3} .1928684
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1661352{col 26}{space 2} .0306347{col 37}{space 1}    5.42{col 46}{space 3}0.000{col 54}{space 4} .1060924{col 67}{space 3} .2261781
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6812637{col 26}{space 2} .0430061{col 37}{space 1}   15.84{col 46}{space 3}0.000{col 54}{space 4} .5969734{col 67}{space 3} .7655541
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     var(e.d){c |}{col 14}{res}{space 2} .0312321{col 26}{space 2} .0091293{col 54}{space 4} .0176113{col 67}{space 3} .0553874
{txt}     var(e.p){c |}{col 14}{res}{space 2} .0433226{col 26}{space 2} .0102991{col 54}{space 4} .0271868{col 67}{space 3} .0690353
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat ic

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}       210{col 27}        .{col 38}-182.7526{col 49}     8{col 58} 381.5051{col 69}  408.282
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. estat teffects 
{res}

{txt}Direct effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:9} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d <-      {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2}  .495549{col 26}{space 2} .1002046{col 37}{space 1}    4.95{col 46}{space 3}0.000{col 54}{space 4} .2991515{col 67}{space 3} .6919464
{txt}{space 11}t {c |}{col 14}{res}{space 2} .0848113{col 26}{space 2}  .037268{col 37}{space 1}    2.28{col 46}{space 3}0.023{col 54}{space 4} .0117674{col 67}{space 3} .1578552
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1668245{col 26}{space 2} .0824815{col 37}{space 1}    2.02{col 46}{space 3}0.043{col 54}{space 4} .0051638{col 67}{space 3} .3284853
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2} .1016662{col 26}{space 2} .0465326{col 37}{space 1}    2.18{col 46}{space 3}0.029{col 54}{space 4} .0104639{col 67}{space 3} .1928684
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1661352{col 26}{space 2} .0306347{col 37}{space 1}    5.42{col 46}{space 3}0.000{col 54}{space 4} .1060924{col 67}{space 3} .2261781
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}


Indirect effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:9} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d <-      {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{space 11}t {c |}{col 14}{res}{space 2} .0503806{col 26}{space 2} .0222615{col 37}{space 1}    2.26{col 46}{space 3}0.024{col 54}{space 4} .0067489{col 67}{space 3} .0940123
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .0823281{col 26}{space 2} .0237633{col 37}{space 1}    3.46{col 46}{space 3}0.001{col 54}{space 4}  .035753{col 67}{space 3} .1289033
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{space 10}wl {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}


Total effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:9} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d <-      {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2}  .495549{col 26}{space 2} .1002046{col 37}{space 1}    4.95{col 46}{space 3}0.000{col 54}{space 4} .2991515{col 67}{space 3} .6919464
{txt}{space 11}t {c |}{col 14}{res}{space 2} .1351919{col 26}{space 2} .0530434{col 37}{space 1}    2.55{col 46}{space 3}0.011{col 54}{space 4} .0312287{col 67}{space 3} .2391551
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .2491527{col 26}{space 2} .0910981{col 37}{space 1}    2.73{col 46}{space 3}0.006{col 54}{space 4} .0706036{col 67}{space 3} .4277017
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2} .1016662{col 26}{space 2} .0465326{col 37}{space 1}    2.18{col 46}{space 3}0.029{col 54}{space 4} .0104639{col 67}{space 3} .1928684
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1661352{col 26}{space 2} .0306347{col 37}{space 1}    5.42{col 46}{space 3}0.000{col 54}{space 4} .1060924{col 67}{space 3} .2261781
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *** indirect and direct - winning/losing
. cap program drop indireff
{txt}
{com}. program indireff, rclass
{txt}  1{com}. sem (d <-  t  wl p)(p <-  t  wl)   , vce(cluster klassnummer)
{txt}  2{com}.   estat teffects
{txt}  3{com}.   mat bi = r(indirect)
{txt}  4{com}.   mat bt = r(total)
{txt}  5{com}.   return scalar indir  = el(bi,1,3)
{txt}  6{com}.   return scalar total  = el(bt,1,3)
{txt}  7{com}. end 
{txt}
{com}. 
. set seed 358395
{txt}
{com}. bootstrap r(indir) r(total), reps(1000): indireff
{txt}(running indireff on estimation sample)

Bootstrap replications ({res}1000{txt})
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
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{res}
{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       210
{txt}{col 49}Replications{col 67}= {res}     1,000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indir)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Observed{col 26}   Bootstrap{col 54}         Norm{col 67}al-based
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_bs_1 {c |}{col 14}{res}{space 2} .0823281{col 26}{space 2} .0283135{col 37}{space 1}    2.91{col 46}{space 3}0.004{col 54}{space 4} .0268346{col 67}{space 3} .1378216
{txt}{space 7}_bs_2 {c |}{col 14}{res}{space 2} .2491527{col 26}{space 2} .0416359{col 37}{space 1}    5.98{col 46}{space 3}0.000{col 54}{space 4} .1675479{col 67}{space 3} .3307575
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat bootstrap, percentile bc  

{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       210
{txt}{col 49}Replications{col 67}= {res}      1000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indir)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{col 1}{text}{hline 13}{c TT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 14}{text}{c |}    Observed{col 38}    Bootstrap
{col 14}{text}{c |}       Coef.{col 27}       Bias{col 38}    Std. Err.{col 51}  [95% Conf. Interval]
{col 1}{text}{hline 13}{c +}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 1}{text}       _bs_1{col 14}{c |}{result}{space 2} .08232813{col 27}{space 2} -.000666{col 38}{space 2} .02831353{col 51}{space 2}  .034517{col 63}{space 1} .1425029{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0371017{col 63}{space 1} .1479326{col 73}{text}  (BC)
{col 1}{text}       _bs_2{col 14}{c |}{result}{space 2} .24915266{col 27}{space 2}-.0006232{col 38}{space 2} .04163586{col 51}{space 2} .1702925{col 63}{space 1} .3314781{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .1714074{col 63}{space 1}  .333238{col 73}{text}  (BC)
{col 1}{text}{hline 13}{c BT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 0}(P){col 8}percentile confidence interval
{col 0}(BC){col 8}bias-corrected confidence interval

{com}. 
. *** indirect and direct - treatment
. cap program drop indireff
{txt}
{com}. program indireff, rclass
{txt}  1{com}. sem (d <- wl  t  p)(p <- wl  t )    , vce(cluster klassnummer)
{txt}  2{com}.   estat teffects
{txt}  3{com}.   mat bi = r(indirect)
{txt}  4{com}.   mat bt = r(total)
{txt}  5{com}.   return scalar indirect  = el(bi,1,3)
{txt}  6{com}.   return scalar total  = el(bt,1,3)
{txt}  7{com}. end
{txt}
{com}. 
. set seed 358395
{txt}
{com}. bootstrap r(indirect) r(total), reps(1000): indireff
{txt}(running indireff on estimation sample)

Bootstrap replications ({res}1000{txt})
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
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{res}
{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       210
{txt}{col 49}Replications{col 67}= {res}     1,000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indirect)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Observed{col 26}   Bootstrap{col 54}         Norm{col 67}al-based
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_bs_1 {c |}{col 14}{res}{space 2} .0503806{col 26}{space 2} .0189255{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .0132873{col 67}{space 3} .0874739
{txt}{space 7}_bs_2 {c |}{col 14}{res}{space 2} .1351919{col 26}{space 2} .0309781{col 37}{space 1}    4.36{col 46}{space 3}0.000{col 54}{space 4} .0744759{col 67}{space 3} .1959079
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat bootstrap, percentile bc  

{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       210
{txt}{col 49}Replications{col 67}= {res}      1000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indirect)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{col 1}{text}{hline 13}{c TT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 14}{text}{c |}    Observed{col 38}    Bootstrap
{col 14}{text}{c |}       Coef.{col 27}       Bias{col 38}    Std. Err.{col 51}  [95% Conf. Interval]
{col 1}{text}{hline 13}{c +}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 1}{text}       _bs_1{col 14}{c |}{result}{space 2} .05038057{col 27}{space 2}-.0007971{col 38}{space 2}  .0189255{col 51}{space 2} .0176438{col 63}{space 1} .0910624{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0193823{col 63}{space 1} .0945239{col 73}{text}  (BC)
{col 1}{text}       _bs_2{col 14}{c |}{result}{space 2} .13519188{col 27}{space 2}-.0002292{col 38}{space 2} .03097811{col 51}{space 2}   .07343{col 63}{space 1} .1946756{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0746349{col 63}{space 1} .1952696{col 73}{text}  (BC)
{col 1}{text}{hline 13}{c BT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 0}(P){col 8}percentile confidence interval
{col 0}(BC){col 8}bias-corrected confidence interval

{com}. 
. *** randomization check
. reg  t  gender interest ideology , robust

{txt}Linear regression                               Number of obs     = {res}       194
                                                {txt}F(3, 190)         =  {res}     0.16
                                                {txt}Prob > F          = {res}    0.9248
                                                {txt}R-squared         = {res}    0.0023
                                                {txt}Root MSE          =    {res} .49025

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}           t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}gender {c |}{col 14}{res}{space 2}-.0315318{col 26}{space 2} .0762475{col 37}{space 1}   -0.41{col 46}{space 3}0.680{col 54}{space 4}-.1819321{col 67}{space 3} .1188686
{txt}{space 4}interest {c |}{col 14}{res}{space 2} .0271218{col 26}{space 2} .1295468{col 37}{space 1}    0.21{col 46}{space 3}0.834{col 54}{space 4}-.2284129{col 67}{space 3} .2826566
{txt}{space 4}ideology {c |}{col 14}{res}{space 2}-.0594929{col 26}{space 2} .1425053{col 37}{space 1}   -0.42{col 46}{space 3}0.677{col 54}{space 4}-.3405887{col 67}{space 3} .2216028
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6362576{col 26}{space 2} .1052527{col 37}{space 1}    6.05{col 46}{space 3}0.000{col 54}{space 4} .4286437{col 67}{space 3} .8438715
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/xpmiki/Dropbox/esaiasson/replicationData/e18.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 9 Sep 2016, 11:40:56
{txt}{.-}
{smcl}
{txt}{sf}{ul off}